基于坐标修正的改进型三边定位算法
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摘要
针对海洋无线传感器网络(Wireless Sensor Network,WSN)节点动态性强、节点运动状态复杂、通信受遮蔽效应较大、信号衰减严重等问题,将传统的WSN三边定位算法应用到海洋环境,提出一种基于坐标修正的改进型三边定位算法.利用EXata平台进行仿真.仿真结果表明,提出的算法具有较高的定位精度和较好的海上动态环境适应性,能提升海上搜救效率.
Marine Wireless Sensor Networks(WSN) are of high dynamic of nodes,complex motion state of nodes,larger sheltered effect of communication,and serious attenuation of signals.In view of this,the three-edge localization algorithm of traditional WSN is applied to marine environment,and an improved three-edge localization algorithm based on coordinate correction is put forward.EXata platform is used to simulate the algorithm.Simulation results show that the proposed algorithm is of higher localization accuracy and better adaptability for dynamic marine environment,and can improve the efficiency of search and rescue.
Marine Wireless Sensor Networks(WSN) are of high dynamic of nodes,complex motion state of nodes,larger sheltered effect of communication,and serious attenuation of signals.In view of this,the three-edge localization algorithm of traditional WSN is applied to marine environment,and an improved three-edge localization algorithm based on coordinate correction is put forward.EXata platform is used to simulate the algorithm.Simulation results show that the proposed algorithm is of higher localization accuracy and better adaptability for dynamic marine environment,and can improve the efficiency of search and rescue.
引文
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[2]BANNER M L,BARTHELEMY X,FEDELE F,et al.Linking reduced breaking crest speeds to unsteady nonlinear water wave group behavior[J].Physical Review Letters,2014,112(11):114502.
[3]夏侯凯顺,余辉荣,邬依林,等.基于自适应分簇的改进RSSI定位算法[J].微电子学与计算机,2014,31(5):103-106.
[4]王振朝,张琦,张峰.基于RSSI测距的改进加权质心定位算法[J].电测与仪表,2014,51(21):63-66.
[5]李国柱.基于PSO的测距模型参数估计三维定位算法[J].计算机测量与控制,2014,22(9):2853-2855.DOI:10.16526/j.cnki.11-4762/tp.2014.09.049.
[6]丁海强,齐光快,庄华亮,等.基于负约束条件下最大似然估计的无线传感网络定位算法[J].传感技术学报,2014,27(11):1545-1550.
[7]LIU Yujun,CAI Meng.A trilateral centroid localization and modification algorithm for wireless sensor network[C]//Proceedings of 4th International Conference on Computer Engineering and Networks.Springer,2015:97-105.DOI:10.1007/978-3-319-11104-9_12.
[8]HAN Guangjie,CHAO Jia,ZHANG Chenyu,et al.The impacts of mobility models on DV-hop based localization in mobile wireless sensor networks[J].Journal of Network and Computer Applications,2014,42:70-79.
[9]LIU Kezhong,CUI Yongqiang,ZHANG Jinfen,et al.Anchor selection scheme for multi-energy level localization method in wireless sensor networks[C]//Proceeding of 4th International Conference on Ubiquitous Information Technologies&Applications.IEEE Xplore,2009:1-4.
[10]罗强.水下无线传感器网络的部署研究[D].北京:国防科学技术大学,2011.
[11]毕卫红,郭海军.基于无线传感器网络的海洋水环境监测系统的设计[J].电子技术,2010,47(8):68-71.
[12]盛堰,周飞,李鉴鸿,等.一种水下无线传感器网络数据的盲分离算法[J].传感器与微系统,2013,32(10):106-109.
[13]郭忠文,罗汉江,洪锋.水下无线传感器网络的研究进展[J].计算机研究与发展,2010,47(3):377-389.
[14]WANG Yu,LIU Yingjian,GUO Zhongwen.Three-dimensional ocean sensor networks:a survey[J].Journal of Ocean University of China,2012,11(4):436-450.
[15]董传明,刘克中,罗广,等.无线传感器网络环境下一种轻量级事件容错检测算法[J].传感技术学报,2014,27(1):135-141.
[16]刘磊,王小青,种劲松,等.海洋监测无线传感器网络的节点数目量化分析[J].电子测量技术,2012,35(5):107-113.
[17]WU Huafeng,YANG Lei,LIU Ling,et al.Real-time localization algorithm for maritime search and rescue wireless sensor network[J].International Journal of Distributed Sensor Networks,2013:791981.http://dx.doi.org/10.1155/2013/791981.
[18]孔德川,王建平,陈伟.基于蚁群算法的水声传感器网络信号检测方法[J].仪表技术与传感器,2016(8):100-104.
[19]钱坤,齐莉.高斯混合模型的船舶传感器网络在线定位算法研究[J].舰船科学技术,2016,38(8A):127-129.
[20]顾文锦,叶显武.导弹仿真中海浪的数字仿真及其动画生成[J].系统仿真学报,1998,10(1):33-38.
[21]郭鹏,韩璞.Hopfield网络在优化计算中的应用[J].计算机仿真,2002,19(3):37-39.
[22]施伟,侯海平.三维随机海浪模拟研究[J].浙江海洋学院学报(自然科学版),2006,25(4):410-413.